Potential application of the semantic web in construction

Pan, J; Anumba, C J and Ren, Z (2004) Potential application of the semantic web in construction. In: Khosrowshahi, F (ed.) Proceedings of 20th Annual ARCOM Conference, 1-3 September 2004, Edinburgh, UK.

Abstract

Low efficiency and poor understanding of project information communication among distributed partners is a major hurdle for the success of construction projects. A machine-understandable information processing approach, the Semantic Web, provides a possible solution to this problem. The Semantic Web supports universal information exchange, such as combining the context into information entities, optimising the organization of information for navigation, supporting machine learning, and realizing intelligent document retrieval and image retrieval. Despite the rapid development of the Semantic Web in recent years, there are very few related research projects in the filed of construction industry. On the other hand, the great benefits obtained by using the Semantic Web in other industries provide good examples to construction. This paper reviews the key concepts, functions and applications of the Semantic Web, and discusses how it improves the performance of construction information management and its potential applications in design, procurement, Communication, Change and Claim Management, and the benefits of applications.

Item Type: Conference Paper (Paper)
Uncontrolled Keywords: semantic web; information communication; construction industry
Index terms: efficiency, semantic web, information exchange, claim management, construction project, information processing, machine learning, construction industry
Subjects: industry analysis, networking, production management, contractual condition, performance management, artificial intelligence, data science
Topics: Contract Administration, Quality Management, Digital Applications, Research Practice, Project Management
Descriptive scope: 3 PCT

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here